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Visual-inertial SLAM — EKF fusion of IMU and stereo observations for pose estimation and landmark mapping. ECE 276A, UC San Diego.

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Open the main.py file, change the 'file' variable to whichever dataset needed.

Run the main.py file

Once the main.py file is run, it automatically will first run "IMU_Trajectory", then "Mapping" and then "Visual SLAM" It then stores all the images that are generated with the following names: IMU_Trajectory_file.png, Landmark_Mapping_file.png and Visual_SLAM_file.png

If there is any issue in running the main file, You can also run individual files namely IMU_Trajectory.py for IMU Trajectory with EKF prediction Mapping.py for Landmark Mapping VI_SLAM.py for Visual SLAM

About

Visual-inertial SLAM — EKF fusion of IMU and stereo observations for pose estimation and landmark mapping. ECE 276A, UC San Diego.

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